11 citations · 26 across the 16 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 8 cited
Deciphering and integrating invariants for neural operator learning with various physical mechanisms
Rui Zhang, Qi Meng, Zhi-Ming Ma
Neural operators have been explored as surrogate models for simulating physical systems to overcome the limitations of traditional partial differential equation (PDE) solvers. Howe…
cs.LG2023★ 7 cited
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Rui Zhang, Qi Meng, Rongchan Zhu +5
In scenarios with limited available data, training the function-to-function neural PDE solver in an unsupervised manner is essential. However, the efficiency and accuracy of existi…